Evidence mapPaperPMID 42412239Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Exploring the network structure and lived experiences of preoperative fear in patients with esophageal cancer: a convergent mixed-methods study.

Xiaozhen Liu, Hui Yang, Yurong Liu, Yaxian Yuan, Dan Wang, Peiyu Gao

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Xiaozhen LiuDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China.
Hui YangDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China.
Yurong LiuDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China. liuyurong574@gmail.com.ORCID https://orcid.org/0009-0000-2814-9630
Yaxian YuanDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China.
Dan WangDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China.
Peiyu GaoDepartment of Thoracic Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450001, Henan, China.

Funding

Henan Provincial Key Laboratory of Nursing Medicine Open Research Project 2024 HNSYHLKT202406
6 · The paper itself

Abstract

backgroundPatients undergoing esophageal cancer surgery often experience multidimensional preoperative fear. Quantitative assessments alone may not fully capture how these fears are understood and experienced.

aimTo examine the network structure of preoperative fear and explore patients' experiences through integrated quantitative and qualitative findings.

methodsA convergent mixed-methods design was used. Quantitative data were collected from 584 patients using the Surgical Fear Questionnaire and analyzed with network analysis. Qualitative data were obtained through semi-structured interviews with 18 patients and analyzed using codebook thematic analysis. Findings were integrated through a joint display.

resultsFEAR3 (fear of pain) had the highest expected influence and occupied the most central position in the network. The strongest connection was between FEAR3 and FEAR4 (fear of side effects). FEAR5 (fear of health deterioration) showed the highest mean score but lower expected influence. Four themes were identified: fears of deterioration, incomplete recovery, and burden; anticipating surgical pain; fear arising from limited understanding and fragmented information; and loss of bodily control during surgery and anesthesia. Integration showed that fear of pain was both statistically central and experientially salient, while qualitative findings expanded understanding of concerns related to information uncertainty, dignity, bodily control, and vulnerability.

conclusionPreoperative fear in patients with esophageal cancer involves interconnected concerns about pain, side effects, health deterioration, recovery, information uncertainty, and loss of control. Pain-related fear may be an important focus for preoperative nursing assessment and education. Patient-centered preoperative care should address pain expectations, recovery concerns, information needs, and issues of dignity and control.

Indexed as

Esophageal NeoplasmsFearAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPainPreoperative PeriodQualitative ResearchSurveys and QuestionnairesEsophageal cancerMixed methodsNetwork analysisOncology nursingPatient experiencesPreoperative fearQualitative study

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.